The PyTorch team has officially released PyTorch 2.0, which was first previewed back in December 2022 at the PyTorch Conference. PyTorch is a Linux Foundation machine learning framework that was originally developed by Meta. This release includes a high-performance implementation of the Transformer API. It supports more use cases now, such as models using Cross-Attention, … continue reading
Meta today announced the newest update of its open-source machine learning framework, PyTorch. According to the company, PyTorch 2.0 is the initial step towards the next-gen 2-series release of PyTorch. This release is intended to improve performance speed as well as add support for Dynamic Shapes and Distributed while still maintaining the same eager-mode development … continue reading
The Linux Foundation, the nonprofit, open-source organization, today unveiled that PyTorch is transitioning away from Meta and joining the foundation where it will exist under the newly-formed PyTorch Foundation. According to the PyTorch maintainers, since its inception back in 2016, the PyTorch machine learning framework has been adopted by over 2,400 contributors and 18,000 organizations … continue reading
Earlier this week, at an event on AI in the Metaverse, Meta (previously Facebook) announced that it was open-sourcing TorchRec. TorchRec is a PyTorch library for recommendation systems. According to PyTorch, the TorchRec library includes modeling primitives, optimized recommendation system kernels, a sharder for partitioning tables, a planner than can generate sharding plans, GPU inference … continue reading
CodeStream announced the release of CodeStream 12.0, bringing observability capabilities into the IDE. Bringing observability into the software development life cycle will enable developers to spend more time building better software and delivering quality digital experiences. With CodeStream 12.0, operations and development teams can identify application owners quickly and work together to remedy critical errors. … continue reading
Facebook announced PyTorch will become the company’s default AI framework at its developer conference F8 Refresh this week. PyTorch is an open-source machine learning framework that the company co-created with AI researchers in 2016. By making PyTorch the default framework for all of its AI and machine learning models, the company believes its research and … continue reading
The latest version of the machine learning library PyTorch is now available. PyTorch 1.8.1 introduces the PyTorch Profiler, which is a tool for performance analysis and troubleshooting for large-scale deep learning models. According to PyTorch’s team, there was a lack of available tools for such a task, and the tools that did exist missed out … continue reading
Bridgecrew has announced it is shifting cloud security left with a new solution that notifies developers about infrastructure as code (IaC) misconfigurations and policy violations early in the life cycle and directly inside their IDEs. “While Bridgecrew’s mission is to ensure infrastructure security at every stage of the development lifecycle — from code and build, … continue reading
The PyTorch team is making a number of updates to support MLflow usage and provide support for mobile and ARM64 architecture. The team held its first PyTorch Developer Day yesterday to provide PyTorch developers with technical talks, project deep dives, and a networking event with the core PyTorch team and developers. Highlights from the event … continue reading
The latest version of the open-source machine learning library PyTorch is now available. PyTorch 1.7 introduces new APIs, support for CUDA 11, updates to profiling and performance for RPC, TorchScript, and Stack tracers. New front end APIs include torch.fft, which is a module for implementing FFT-related functions; C++ support for nn.transformer module abstraction from the … continue reading
This week Facebook has released Opacus, a new open-source project designed to train PyTorch models with differential privacy (DP). According to the company, differential privacy is a mathematical framework for quantifying the anonymization of sensitive data. It is meant to make PyTorch models more scalable and the adoption of machine learning easier. “With the release … continue reading
Coinciding with this week’s release of PyTorch 1.5, which was a major update to the framework, AWS and Facebook have come together to release an open-source model server for the framework, TorchServe. According to AWS, developers like the flexibility PyTorch provides for building and training models, but deploying and managing them in production is the … continue reading
